Data Engineer, AI/ML, Advanced Analytics

Job ID: 29234807Reference Number: 26-00923Title: Data Engineer, AI/ML, Advanced AnalyticsPosted Date: 2026-09-09Contact: Vishika ChaudharyContact Email: View email address on click.appcast.io Phone: (551) 795-0621Company: HAN Staffing Data Engineer, AI/ML, Advanced Analytics Minneapolis, MN - Onsite 6-12 Months265571, 265556 Virtusa/Health Care CompanyPosition Summary We are seeking a highly skilled Data Engineer to support enterprise AI/ML and Advanced Analytics initiatives by building scalable, reliable, and high-performance data platforms and pipelines This role will focus on designing and engineering modern data solutions that enable machine learning, advanced analytics, and AI-driven decision making The ideal candidate has strong expertise in data architecture, cloud platforms, large-scale data processing, and data engineering best practicesKey Responsibilities Design, develop, and maintain scalable data pipelines supporting AI/ML and analytics workloads Build and optimize batch and real-time data ingestion frameworks Develop data integration solutions across multiple internal and external data sources Implement data transformation, cleansing, enrichment, and validation processes Design and maintain modern data lake, lakehouse, and data warehouse architectures Ensure data quality, integrity, security, and governance standards are met Optimize data processing performance, scalability, and operational efficiencyRequired Qualifications Strong proficiency in Python, SQL, Spark, Scala, or equivalent technologies Experience building cloud-native data solutions using Azure, AWS, or GCP Experience with ETL/ELT frameworks and large-scale data processing Knowledge of distributed data processing technologies and modern data architectures Experience with data lake, warehouse, and lakehouse platforms Understanding of data governance, security, and data quality practices Strong collaboration and problem-solving skillsPreferred Qualifications Experience supporting AI/ML platforms and Data Science workloads Familiarity with feature stores, MLOps and model deployment pipelinesKey Competencies Data Engineering ExcellenceBuild scalable, reliable, and high-performance data solutions. Cloud & Modern Data Platforms Design and optimize cloud-native architectures supporting AI and analytics Data Pipeline Development Develop robust ingestion, transformation, and orchestration frameworksAI/ML EnablementOperational Excellence The ideal candidate builds scalable data ecosystems that power analytics and AI initiatives Ensures data is accessible, trusted, and ready for advanced analytics Partners effectively with Data Scientists, Architects, and Product teams